Senior Consultant Data Engineer - Cloud

Company Description

Visa is a global leader in digital payments, facilitating over 215 billion payment transactions yearly between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories. Our mission is to connect the world using the most innovative, convenient, reliable, and secure payment network, therefore allowing individuals, businesses, and economies to thrive.

When you join Visa, you become part of a culture that prioritizes purpose, growth, and belonging, where your identity is valued, and your work matters. We believe that inclusive economies benefit everyone, everywhere. Your work will directly affect billions of people globally, helping to increase financial accessibility and shape the future of money movement.

Join Visa: A Network Working for Everyone.

Job Description

Are you ready to make a global impact by integrating AI?

Visa AI as a Service (AIaS) operationalizes the delivery of AI and decision intelligence to ensure continuous business value. Built with flexible AI capabilities, privacy-enhancing computation, and cloud-native platforms, AIaS enables and automates the industrialization of data, models, and applications for both predictive and generative AI. Coupled with strong governance, AIaS optimizes the performance, scalability, interpretability, and reliability of AI models and services. If you're interested in the exciting realm of payment and AI, eager to learn quickly, and make significant impacts, Visa AI as a Service is the perfect place for you!

This role is for a Senior Consultant Data Engineer – Cloud, with a strong development background, tasked primarily with extending our AI as a Service platform to the Public Cloud, enhancing our existing codebase and development processes, and developing new solutions. We are looking for an experienced professional with a robust background in public cloud and AI/ML production systems.

The ideal candidate will have a strong combination of hands-on technical knowledge and leadership skills, capable of inspiring and leading the team towards achieving our technical objectives. They should be knowledgeable about cloud technologies, business drivers, emerging AI/ML trends, and experienced with public cloud services such as AWS, GCP, and Azure. The candidate should possess strong interpersonal skills, excellent written and verbal communication abilities, and the competency to handle complex projects and deadlines. A problem-solving mindset and a hands-on approach are critical for this role.

This role offers abundant learning and growth opportunities, along with the chance to be part of delivering the next big thing for our AI as Service team. If you're experienced and passionate about cloud technology, AI, and machine learning, and are excited about making a significant impact, we would love to hear from you.

This is a hybrid position. Hybrid employees can alternate time between remote and office-based work. Employees in hybrid roles are expected to work from the office 2-3 set days per week (decided by leadership/site), generally spending at least 50% of their time in the office based on business needs.

Qualifications

Basic Qualifications

• 10 years of relevant work experience with a bachelor’s degree or 8 years of relevant work experience with an advanced degree (e.g., Masters, MBA, JD, MD) or 3 years relevant work experience with a PhD.

Preferred Qualifications

• 5 or more years of related hands-on experience in delivering robust and scalable solutions on public cloud platforms such as AWS, Google Cloud Platform, and Microsoft Azure, preferably in an AI/ML production environment.
• Expertise in one or more of Golang, Java, Rust, and C/C++.
• Demonstrated hands-on experience in delivering sturdy and scalable solutions on public cloud platforms such as AWS, Google Cloud Platform, or Microsoft Azure.
• Strong understanding of cloud architecture and service offerings, including compute, storage, databases, networking, AI, and ML.
• Experience in Cloud AI/ML Solutions such as - AWS Sagemaker, Comprehend, GCP AutoML etc. Expertise in AWS EKS, ElasticCache, CloudWatch
• Robust knowledge of cloud security and best practices for cloud infrastructure management.
• Experience in Cloud Big Data Services.
• Demonstrated expertise in designing, developing, and deploying cloud-based applications.
• Proven knowledge of successful design and development of data driven real-time and batch systems.
• Hands-on experience with Ray (on-prem, K8s, AWS, GCP, or Azure)
• Strong System Design / Software Design Skills
• Familiar with common software development tools, CICD, Agile methodologies, and scrum practices
• Professional Cloud Provider Certifications in infrastructure, solutioning, and AI/ML platforms will be an advantage.

Additional Information

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.